---
title: "Sistemas y Señales Biomédicos"
description: "SYSB"
subtitle: "Ingeniería Biomédica"
lang: es
author: "Ph.D. Pablo Eduardo Caicedo Rodríguez"
date: "2025-01-20"
format:
html:
code-tools: true
code-overflow: wrap
code-line-numbers: true
code-copy: true
fig-align: center
self-contained: true
theme:
- simple
- ../../recursos/estilos/metropolis.scss
slide-number: true
preview-links: auto
logo: ../../recursos/imagenes/generales/Escuela_Rosario_logo.png
css: ../../recursos/estilos/styles_pres.scss
footer: <https://pablocaicedor.github.io/>
transition: fade
progress: true
scrollable: true
resources:
- demo.pdf
---
```{r}
#| echo: false
#| eval: true
#| output: false
#| label: Loading R-Libraries
# install.packages(c("DiagrammeR", "reticulate", "kableExtra", "tidyverse", "knitr", "cowplot", "ggfx"))
library("DiagrammeR")
library("reticulate")
library("kableExtra")
library("tidyverse")
library("knitr")
library("cowplot")
library("ggfx")
knitr::opts_chunk$set(echo = FALSE)
def.chunk.hook <- knitr::knit_hooks$get("chunk")
knitr::knit_hooks$set(chunk = function(x, options) {
x <- def.chunk.hook(x, options)
ifelse(options$size != "normalsize", paste0("\n \\", options$size, "\n\n", x, "\n\n \\normalsize"), x)
})
```
```{python}
#| echo: false
#| eval: true
#| output: false
#| label: Loading Python-Libraries
import numpy as np
import matplotlib.pyplot as plt
path_ecg="../../data"
#https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit#write
```
## Requiered Downloads
1. Download the [Jetson Nano 2GB Developer Kit SD Card Image](https://developer.nvidia.com/jetson-nano-sd-card-image) and note where it was saved on the computer.
2. Download, install, and launch[ SD Memory Card Formatter for Windows]()
3. Download, install, and launch [Etcher](https://www.balena.io/etcher).